Java Developer- Director-Software Engineer

Java Backend Engineer - Director - Software Engineering

Profile Description

We're seeking someone to join our Institutional Securities Technology (Prime Brokerage AND Institutional Equity) team as a Java Backend Engineer . for a strong Backend Java Engineer to build scalable, high-performance enterprise applications on a team that's adopting agentic AI workflows (built on frameworks like the Claude Agent SDK). This is fundamentally a backend engineering role — the bar is deep Java/Spring Boot craftsmanship and strong problem-solving. AI/agentic experience is crucial; we need someone who is aware & can quickly pick up orchestrator/subagent patterns & eval workflows.

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

This is Director position that develops and maintains software solutions that support business needs.

What you'll do in the role:

• 6+ years hands-on Java development
• Deep Spring Boot, microservices, REST APIs, messaging integrations (Kafka, JMS, RabbitMQ)
• Strong SQL, concurrency & distributed systems design
• CI/CD, DevOps, production observability
• Experience in performance tuning and scalability improvements
• Demonstrated strong problem-solving ability and comfort learning new technologies quickly

What you will Bring to the Role :

• Genuine interest in AI-assisted / agentic software development, with basic hands-on exposure (personal projects, POCs, or production) to LLM-integrated systems — e.g., calling OpenAI/Azure OpenAI/Anthropic APIs, or using tools like GitHub Copilot / Claude Code in a substantial way

• Ability to grasp and reason about agentic concepts: orchestrator/subagent patterns, tool/function calling, eval-driven iteration ("hill climbing"), and basic prompt engineering

• Python exposure for AI integration, scripting, or data pipeline use cases.

• Hands-on experience integrating LLMs into production backend systems (OpenAI, Azure OpenAI, Anthropic, or equivalent)

• Working knowledge of agentic AI frameworks — LangChain, LangGraph, Spring AI, AutoGen, CrewAI, or Claude Agent SDK — including agent memory, tool calling, and multi-step reasoning loops

• Ability to design multi-agent workflows: orchestrator/subagent patterns, agent-to-agent communication, and guardrails for autonomous systems

• Awareness of AI system reliability concerns: hallucination mitigation, observability (tracing agent runs), latency, and cost management

• Curiosity and self-driven experimentation with emerging agentic patterns (ReAct, Chain-of-Thought, reflection loops, human-in-the-loop gates)

• RAG architecture and Vector Database concepts

• Financial Services or Investment Banking domain experience

• WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: .

• 6+ years hands-on Java development
• Deep Spring Boot, microservices, REST APIs, and messaging integrations (Kafka, JMS, RabbitMQ)
• Strong SQL, concurrency, and distributed systems design
• Experience with CI/CD, DevOps, and production observability
• Hands-on experience integrating LLMs into production backend systems
• Working knowledge of agentic AI frameworks like LangChain, LangGraph, or Spring AI
• Python exposure for AI integration or scripting
• Financial Services or Investment Banking domain experience